When entropy drops below target, BOTH α (entropy gradient) AND τ
(distillation softness) increase together. At b=1024 where Q learns
fast and peaks quickly, τ auto-ramps to soften the target. At b=16
where Q is slower, τ stays lower.
τ range [1.0, 50.0], same exponential step rate as α.
This couples the explore-exploit tradeoff into a single adaptive
mechanism that scales with batch size automatically.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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